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dc.contributor.editorÖzarslan, Evren
dc.contributor.editorSchultz, Thomas
dc.contributor.editorZhang, Eugene
dc.contributor.editorFuster, Andrea
dc.date.accessioned2021-02-15T10:20:27Z
dc.date.available2021-02-15T10:20:27Z
dc.date.issued2021
dc.identifierONIX_20210215_9783030562151_15
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/46809
dc.description.abstractThis open access book focuses on processing, modeling, and visualization of anisotropy information, which are often addressed by employing sophisticated mathematical constructs such as tensors and other higher-order descriptors. It also discusses adaptations of such constructs to problems encountered in seemingly dissimilar areas of medical imaging, physical sciences, and engineering. Featuring original research contributions as well as insightful reviews for scientists interested in handling anisotropy information, it covers topics such as pertinent geometric and algebraic properties of tensors and tensor fields, challenges faced in processing and visualizing different types of data, statistical techniques for data processing, and specific applications like mapping white-matter fiber tracts in the brain. The book helps readers grasp the current challenges in the field and provides information on the techniques devised to address them. Further, it facilitates the transfer of knowledge between different disciplines in order to advance the research frontiers in these areas. This multidisciplinary book presents, in part, the outcomes of the seventh in a series of Dagstuhl seminars devoted to visualization and processing of tensor fields and higher-order descriptors, which was held in Dagstuhl, Germany, on October 28–November 2, 2018.
dc.languageEnglish
dc.relation.ispartofseriesMathematics and Visualization
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PB Mathematics::PBV Combinatorics & graph theory
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PB Mathematics::PBF Algebra
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PD Science: general issues::PDE Maths for scientists
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision
dc.subject.classificationbic Book Industry Communication::P Mathematics & science::PH Physics::PHU Mathematical physics
dc.subject.otherVisualization
dc.subject.otherLinear and Multilinear Algebras, Matrix Theory
dc.subject.otherComputational Science and Engineering
dc.subject.otherComputer Imaging, Vision, Pattern Recognition and Graphics
dc.subject.otherTheoretical, Mathematical and Computational Physics
dc.subject.otherData and Information Visualization
dc.subject.otherLinear Algebra
dc.subject.othertensor
dc.subject.othertensor fields
dc.subject.otherhigher-order harmonics
dc.subject.otherspherical harmonics
dc.subject.otherimage processing
dc.subject.othermedical imaging
dc.subject.otherdiffusion-weighted imaging (DWI)
dc.subject.otherstructural mechanics
dc.subject.otherastrophysics
dc.subject.otherstatistics
dc.subject.otheropen access
dc.subject.otherCombinatorics & graph theory
dc.subject.otherAlgebra
dc.subject.otherMaths for scientists
dc.subject.otherComputer vision
dc.subject.otherMathematical physics
dc.titleAnisotropy Across Fields and Scales
dc.typebook
oapen.identifier.doi10.1007/978-3-030-56215-1
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy63b5f0bf-446f-445e-b9ff-730f3a9ffcd8
oapen.imprintSpringer
oapen.pages280
oapen.grant.number[grantnumber unknown]


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